A Polyglot Data Integration Framework for Seamless Integration of Heterogeneous Data Sources and Formats
DOI:
https://doi.org/10.63282/3050-9246.IJETCSIT-V5I4P108Keywords:
Data Integration, Polyglot, Heterogeneous Data Sources, Data Framework, Interoperability, Scalability, Data Governance, Data Formats, Data Modeling, System Architecture, ETL (Extract, Transform, Load), Data Mapping, Cloud Integration, API Integration, Real-time Data Processing, Data Quality, Metadata Management, Data Transformation, Distributed Data Systems, Data Pipelines, Data Synchronization, Data Warehousing, Business Intelligence, Data Lakes, Data Lakes Architecture, Data Security, Data Access, Data Standards, Data Analytics, Data Storage Solutions, Data Federation, Data Virtualization, Cross-platform Compatibility, Batch Processing, Event-driven Architecture, Data Migration, Data Streamlining, Data Aggregation, Data Cleansing, Data OrchestrationAbstract
Businesses find it hard to combine data from different systems, formats, and sources. Some examples of these sources are structured data in relational databases, semi-structured data like JSON or XML, and unstructured data like text or multimedia files. Businesses need to be able to handle and mix all of these different types of data in order to get the most out of them. You can now utilize an architecture to put together data from languages that are distinct. This framework is meant to help you find a way to handle a lot of various types of data and sources without slowing down or losing consistency. Cloud storage, APIs, and machine learning are just a few of the cutting-edge technologies that the framework leverages to make sure that data systems can work together without any hassles. It allows businesses to combine their data while ensuring that all of their systems are accurate and high-quality. The platform also solves the problem of scalability, which means that companies can simply handle more and more data without any issues or delays. This plan helps businesses maintain better track of their data, which makes it easier to put together and less likely to make mistakes. Companies should always be able to see their data in the same way, no matter where it comes from or what format it is in. This makes it easier to choose. The answer also helps with data governance since it allows people ways to keep track of data history, set security standards, and make sure they follow the rules. When you have to interact with diverse kinds of data, the polyglot data integration framework is an excellent method to deal with problems that come up. In a world where data is king, it helps businesses get the most out of their data, keep things running smoothly, and remain ahead of the competition
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